Evidence map›Paper›PMID 32915852›Full record

SynthesisPloS one2020

Accuracy of cytokeratin 18 (M30 and M65) in detecting non-alcoholic steatohepatitis and fibrosis: A systematic review and meta-analysis.

Jenny Lee, Yasaman Vali, Jérôme Boursier, Kevin Duffin, Joanne Verheij, M Julia Brosnan, Koos Zwinderman, Quentin M Anstee, Patrick M Bossuyt, Mohammad Hadi Zafarmand

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 2 pooled it
6.5field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

43 citing papers in PubMed, 2 syntheses or guidelines pooled it, 75 citations in OpenAlex.

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  15. Exercise improves surrogate measures of liver histological response in metabolic dysfunction-associated steatotic liver disease.Liver international : official journal of the International Association for the Study of the Liver · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 5 institutions in 4 countries.

Jenny LeeEpidemiology and Data Science, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0003-4024-0933
Yasaman ValiEpidemiology and Data Science, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0001-7002-118X
Jérôme BoursierHepato-Gastroenterology Department, Angers University Hospital, Angers, France.
Kevin DuffinLilly Research Laboratories, Eli Lilly and Company Ltd (LLY), Indianapolis, IN, United States of America.
Joanne VerheijDepartment of Pathology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
M Julia BrosnanInternal Medicine Research Unit, Pfizer Inc, Cambridge, MA, United States of America.
Koos ZwindermanEpidemiology and Data Science, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
Quentin M AnsteeThe Newcastle Liver Research Group, Translational & Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, United Kingdom.ORCID 0000-0002-9518-0088
Patrick M BossuytEpidemiology and Data Science, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
Mohammad Hadi ZafarmandEpidemiology and Data Science, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
Amsterdam University Medical Centers · NLEli Lilly (United States) · USNewcastle upon Tyne Hospitals NHS Foundation Trust · GBPfizer (United States) · USUniversité d'Angers · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAssociation between elevated cytokeratin 18 (CK-18) levels and hepatocyte death has made circulating CK-18 a candidate biomarker to differentiate non-alcoholic fatty liver from non-alcoholic steatohepatitis (NASH). Yet studies produced variable diagnostic performance. We aimed to provide summary estimates with increased precision for the accuracy of CK-18 (M30, M65) in detecting NASH and fibrosis among non-alcoholic fatty liver disease (NAFLD) adults.

methodsWe searched five databases to retrieve studies evaluating CK-18 against a liver biopsy in NAFLD adults. Reference screening, data extraction and quality assessment (QUADAS-2) were independently conducted by two authors. Meta-analyses were performed for five groups based on the CK-18 antigens and target conditions, using one of two methods: linear mixed-effects multiple thresholds model or bivariate logit-normal random-effects model.

resultsWe included 41 studies, with data on 5,815 participants. A wide range of disease prevalence was observed. No study reported a pre-defined cut-off. Thirty of 41 studies provided sufficient data for inclusion in any of the meta-analyses. Summary AUC [95% CI] were: 0.75 [0.69-0.82] (M30) and 0.82 [0.69-0.91] (M65) for NASH; 0.73 [0.57-0.85] (M30) for fibrotic NASH; 0.68 (M30) for significant (F2-4) fibrosis; and 0.75 (M30) for advanced (F3-4) fibrosis. Thirteen studies used CK-18 as a component of a multimarker model.

conclusionsFor M30 we found lower diagnostic accuracy to detect NASH compared to previous meta-analyses, indicating a limited ability to act as a stand-alone test, with better performance for M65. Additional external validation studies are needed to obtain credible estimates of the diagnostic accuracy of multimarker models.

Indexed as

AdultBiomarkersBiopsyCell DeathFemaleHepatocytesHumansKeratin-18LiverLiver CirrhosisMaleMiddle AgedNon-alcoholic Fatty Liver DiseasePeptide FragmentsBiomarkersKeratin-18M30 cytokeratin-18 peptide, humanPeptide Fragments

Identifiers

PMID32915852
PMCPMC7485872
OpenAlexW3084487116

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.